基于聚类分析的雷达航迹跟踪数据关联算法

Data Association Algorithm in Target Tracking Process of Radar Based on Clustering Analysis

在雷达数据处理系统中,数据关联算法是关键技术之一。特别是目标在复杂环境中,比如强杂波、多回波干扰,波门内会有多个量测点。传统的最近邻域算法会出现航迹与量测的关联错误,造成目标跟踪的不稳定。文中将聚类分析方法运用在概率数据关联算法中,降低目标在复杂环境下的关联错误率,提高了目标量测的稳定性。

Data association algorithm is one of the most critical technologies in radar data processing system. Especially when the target is in the complex background track, such as strong clutter or too many echoes ,more measures are required in the wave gate. The traditional nearest neighbor algorithm may cause an associated error which can make the tracking instable. In this paper, a method based on the clustering analysis is applied in the probabilistic data association algorithm,which reduces the error rate and enhances the stability of tracking in the sea clutter.